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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Prediction of unplanned 30-day readmission for ICU patients with heart failure
Maryam Pishgar, Julian Theis, Marina Del Rios, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Prediction of Sepsis Mortality in ICU Patients Using Machine Learning Methods
Jiayi Gao, Yu‐Ying Lu, Negin Ashrafi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database
Shiyu Chen, Weiwei Hu, Yuhui Yang, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 870-870
Open Access | Times Cited: 18
Machine learning–based 30-day readmission prediction models for patients with heart failure: a systematic review
M Yu, Youn‐Jung Son
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 7, pp. 711-719
Closed Access | Times Cited: 7
Deep learning model utilization for mortality prediction in mechanically ventilated ICU patients
Negin Ashrafi, Yiming Liu, Xin Xu, et al.
Informatics in Medicine Unlocked (2024) Vol. 49, pp. 101562-101562
Open Access | Times Cited: 6
Prediction of sepsis mortality in ICU patients using machine learning methods
Jiayi Gao, Yu‐Ying Lu, Negin Ashrafi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Chaotic gradient based optimization with fuzzy temporal optimized CNN for heart failure prediction
Gireesh Kumar, S. Muthurajkumar
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools
Hoda Helmy, Chaima Ben Rabah, Nada Ali, et al.
Lecture notes in computer science (2025), pp. 95-104
Closed Access
Prognostic models for unplanned intensive care unit readmission risk prediction: A systematic review and meta‐analysis based on HSROC model
Huiling Hu, Jiashuai Li, Hui Ge, et al.
Nursing in Critical Care (2025) Vol. 30, Iss. 2
Closed Access
Predicting 30 Days Hospital Readmission for Heart Failure patients using word embeddings:Algorithm Development and Validation (Preprint)
Prabin Shakya, Alka Khaneja, Kavishwar B. Wagholikar
(2025)
Closed Access
Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis
Hamed Hajishah, Danial Kazemi, Ehsan Safaee, et al.
BMC Cardiovascular Disorders (2025) Vol. 25, Iss. 1
Open Access
A Clinical Decision Support System for Edge/Cloud ICU Readmission Model Based on Particle Swarm Optimization, Ensemble Machine Learning, and Explainable Artificial Intelligence
Maali Alabdulhafith, Hager Saleh, Hela Elmannai, et al.
IEEE Access (2023) Vol. 11, pp. 100604-100621
Open Access | Times Cited: 9
Deep Learning Model Utilization for Mortality Prediction in Mechanically Ventilated ICU Patients
Negin Ashrafi, Yiming Liu, Xin Xu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Prediction of 30-day mortality for ICU patients with Sepsis-3
YU Zhi-jiang, Negin Ashrafi, Hexin Li, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Predicting unplanned readmissions in the intensive care unit: a multimodality evaluation
Eitam Sheetrit, Menachem Brief, Oren Elisha
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Predictive Modeling for Hospital Readmissions for Patients With Heart Disease: An Updated Review From 2012–2023
Wei Zhang, Weihan Cheng, Koichi Fujiwara, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2259-2269
Closed Access | Times Cited: 2
Deep Learning Model Utilization for Mortality Prediction in Mechanically Ventilated Icu Patients
Yiming Liu, Yingqi Wang, Xin Xu, et al.
(2024)
Closed Access | Times Cited: 2
Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention
Yanxu Liu, Linqin Du, Lan Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period
Canqing Yu, Yu Fang, Fangfang Jiang, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients
Maryam Pishgar, Samuel Harford, Julian Theis, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Representation of time-varying and time-invariant EMR data and its application in modeling outcome prediction for heart failure patients
Yanqun Huang, Muyu Wang, Zhimin Zheng, et al.
Journal of Biomedical Informatics (2023) Vol. 143, pp. 104427-104427
Open Access | Times Cited: 5
Research Hotspots and Trends of Deep Learning in Critical Care Medicine: A Bibliometric and Visualized Study
Kaichen Zhang, Yihua Fan, Kunlan Long, et al.
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 2155-2166
Open Access | Times Cited: 4
Process Mining/ Deep Learning Model to Predict Mortality in Coronary Artery Disease Patients
Negin Ashrafi, Armin Abdollahi, Greg Placencia, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Convolutional Neural Network Based Predictive Framework for Intensive Care Unit Readmission
Nadia Rasheed, Muhammad Usman Akram, Jahan Zeb
(2024), pp. 1-9
Closed Access
Prediction of 30-Day Mortality for ICU Patients with Sepsis-3
Zaixin Yu, Negin Ashrafi, Hui Li, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Enhancing Predictive Models to Lower Rehospitalization Risk: Utilizing Historical Medical Records for AI-Driven Interventions
Giada Confortola, Mika Takata, Naoaki Yokoi, et al.
IEEE Access (2024) Vol. 12, pp. 78911-78921
Open Access
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